60 datasets found
  1. Total population in Puerto Rico 1980-2030

    • statista.com
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    Statista, Total population in Puerto Rico 1980-2030 [Dataset]. https://www.statista.com/statistics/397761/total-population-of-puerto-rico/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Puerto Rico
    Description

    In 2024, the total population of Puerto Rico was estimated at approximately 3.19 million people. Between 1980 and 2024, the figure dropped by around 10 thousand people, though the decline followed an uneven course rather than a steady trajectory. The forecast shows the total population will steadily decline by about 90 thousand people from 2024 to 2030.This indicator describes the total population in the country at hand. This total population of the country consists of all persons falling within the scope of the census.

  2. M

    Puerto Rico Population (1950-2025)

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Puerto Rico Population (1950-2025) [Dataset]. https://www.macrotrends.net/global-metrics/countries/pri/puerto-rico/population
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Puerto Rico
    Description
    Total current population for Puerto Rico in 2025 is 3,275,311, a 0.2% increase from 2024.
    <ul style='margin-top:20px;'>
    
    <li>Total population for Puerto Rico in 2024 was <strong>3,268,802</strong>, a <strong>1.97% increase</strong> from 2023.</li>
    <li>Total population for Puerto Rico in 2023 was <strong>3,205,691</strong>, a <strong>0.45% decline</strong> from 2022.</li>
    <li>Total population for Puerto Rico in 2022 was <strong>3,220,113</strong>, a <strong>1.31% decline</strong> from 2021.</li>
    </ul>Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.
    
  3. TIGER/Line Shapefile, Current, State, Puerto Rico, Census Tract

    • catalog.data.gov
    Updated Dec 15, 2023
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, Current, State, Puerto Rico, Census Tract [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-state-puerto-rico-census-tract
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    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Puerto Rico
    Description

    This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

  4. Puerto Rico: population 2010-2023, by age

    • statista.com
    Updated Nov 5, 2024
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    Statista (2024). Puerto Rico: population 2010-2023, by age [Dataset]. https://www.statista.com/statistics/804270/population-total-age-puerto-rico/
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    Dataset updated
    Nov 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Puerto Rico
    Description

    Over two million inhabitants in Puerto Rico were aged between 15 and 64 as of 2023. Even though the island nation's population is expected to decline from 2023 onwards, demographic data shows Puerto Rico's population is aging, as the number of inhabitants in the age range above 65 years increased continuously over the last decade and reached 749,020 people in 2023.

  5. Countries with the highest population decline rate 2024

    • statista.com
    Updated Apr 16, 2025
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    Statista (2025). Countries with the highest population decline rate 2024 [Dataset]. https://www.statista.com/statistics/264689/countries-with-the-highest-population-decline-rate/
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    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In the Cook Islands in 2024, the population decreased by about 2.24 percent compared to the previous year, making it the country with the highest population decline rate in 2024. Of the 20 countries with the highest rate of population decline, the majority are island nations, where emigration rates are high (especially to Australia, New Zealand, and the United States), or they are located in Eastern Europe, which suffers from a combination of high emigration rates and low birth rates.

  6. P

    Puerto Rico Population size - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 25, 2017
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    Globalen LLC (2017). Puerto Rico Population size - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Puerto-Rico/Population_size/
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    csv, xml, excelAvailable download formats
    Dataset updated
    Feb 25, 2017
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    Puerto Rico
    Description

    Puerto Rico: Population size, in millions: The latest value from 2023 is 3.21 million, a decline from 3.22 million in 2022. In comparison, the world average is 40.69 million, based on data from 196 countries. Historically, the average for Puerto Rico from 1960 to 2023 is 3.3 million. The minimum value, 2.36 million, was reached in 1960 while the maximum of 3.83 million was recorded in 2003.

  7. Puerto Rico: population density 2009-2022

    • statista.com
    Updated Jun 4, 2025
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    Statista (2025). Puerto Rico: population density 2009-2022 [Dataset]. https://www.statista.com/statistics/883105/population-density-puerto-rico/
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    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Puerto Rico
    Description

    In 2022, the population density in Puerto Rico remained nearly unchanged at around 363.03 inhabitants per square kilometer. Still, 2022 marked the second consecutive decline of the population density. Population density refers to the number of people living in a certain country or area, given as an average per square kilometer. It is calculated by dividing the total midyear population by the total land area.Find more key insights for the population density in countries like Trinidad and Tobago and Saint Kitts and Nevis.

  8. TIGER/Line Shapefile, 2022, State, Puerto Rico, PR, Census Tract

    • catalog.data.gov
    Updated Jan 28, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, State, Puerto Rico, PR, Census Tract [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-state-puerto-rico-pr-census-tract
    Explore at:
    Dataset updated
    Jan 28, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Puerto Rico
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

  9. N

    Puerto Rico Population Pyramid Dataset: Age Groups, Male and Female...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Puerto Rico Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/f0455a64-4983-11ef-ae5d-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Puerto Rico
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Total Population for Age Groups, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the three variables, namely (a) male population, (b) female population and (b) total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the data for the Puerto Rico population pyramid, which represents the Puerto Rico population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

    Key observations

    • Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Puerto Rico, is 21.4.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Puerto Rico, is 34.4.
    • Total dependency ratio for Puerto Rico is 55.8.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Puerto Rico is 2.9.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group for the Puerto Rico population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Puerto Rico for the selected age group is shown in the following column.
    • Population (Female): The female population in the Puerto Rico for the selected age group is shown in the following column.
    • Total Population: The total population of the Puerto Rico for the selected age group is shown in the following column.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Puerto Rico Population by Age. You can refer the same here

  10. Total population in Puerto Rico 1980 to 2030

    • ai-chatbox.pro
    Updated Jul 16, 2024
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    Aaron O'Neill (2024). Total population in Puerto Rico 1980 to 2030 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F3287%2Flatin-america%2F%23XgboDwS6a1rKoGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Jul 16, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Aaron O'Neill
    Description

    In 2025, the total population of Puerto Rico is approximately 3.17 million people.Fluctuating decline between 1980 and 2025Compared to the earliest depicted observation from 1980 there is a total decrease by approximately 30 thousand people. Looking at the trajectory between 1980 and 2025, one can observe that this decrease however did not happen continuously.Continuous decline between 2025 and 2030The total population will lie at roughly 3.10 million people in 2030, according to forecasts. This indicates an overall decrease by approximately 70 thousand people since 2025. This decrease reflects a consistent falling trend.This indicator describes the total population in the country at hand. This total population of the country consists of all persons falling within the scope of the census.

  11. M

    Puerto Rico Urban Population

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Puerto Rico Urban Population [Dataset]. https://www.macrotrends.net/global-metrics/countries/pri/puerto-rico/urban-population
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Puerto Rico
    Description
    Puerto Rico urban population for 2023 was 3,001,617, a 0.42% decline from 2022.
    <ul style='margin-top:20px;'>
    
    <li>Puerto Rico urban population for 2022 was <strong>3,014,348</strong>, a <strong>1.29% decline</strong> from 2021.</li>
    <li>Puerto Rico urban population for 2021 was <strong>3,053,620</strong>, a <strong>0.56% decline</strong> from 2020.</li>
    <li>Puerto Rico urban population for 2020 was <strong>3,070,914</strong>, a <strong>2.76% increase</strong> from 2019.</li>
    </ul>Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.
    
  12. P

    Puerto Rico Rural population, percent - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Nov 30, 2016
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    Globalen LLC (2016). Puerto Rico Rural population, percent - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Puerto-Rico/rural_population_percent/
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    csv, xml, excelAvailable download formats
    Dataset updated
    Nov 30, 2016
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    Puerto Rico
    Description

    Puerto Rico: Rural population, percent of total population: The latest value from 2023 is 6.37 percent, a decline from 6.39 percent in 2022. In comparison, the world average is 38.64 percent, based on data from 196 countries. Historically, the average for Puerto Rico from 1960 to 2023 is 19.73 percent. The minimum value, 5.61 percent, was reached in 2000 while the maximum of 55.45 percent was recorded in 1960.

  13. M

    Puerto Rico Rural Population

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Puerto Rico Rural Population [Dataset]. https://www.macrotrends.net/global-metrics/countries/pri/puerto-rico/rural-population
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Puerto Rico
    Description
    Puerto Rico rural population for 2023 was 204,074, a 0.82% decline from 2022.
    <ul style='margin-top:20px;'>
    
    <li>Puerto Rico rural population for 2022 was <strong>205,765</strong>, a <strong>1.58% decline</strong> from 2021.</li>
    <li>Puerto Rico rural population for 2021 was <strong>209,073</strong>, a <strong>0.75% decline</strong> from 2020.</li>
    <li>Puerto Rico rural population for 2020 was <strong>210,643</strong>, a <strong>2.67% increase</strong> from 2019.</li>
    </ul>Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. Aggregation of urban and rural population may not add up to total population because of different country coverages.
    
  14. 2023 Cartographic Boundary File (SHP), Census Tract for Puerto Rico,...

    • catalog.data.gov
    • datasets.ai
    Updated May 16, 2024
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2024). 2023 Cartographic Boundary File (SHP), Census Tract for Puerto Rico, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2023-cartographic-boundary-file-shp-census-tract-for-puerto-rico-1-500000
    Explore at:
    Dataset updated
    May 16, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some states and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census and beyond, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

  15. 2022 Cartographic Boundary File (SHP), Current Census Tract for Puerto Rico,...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Dec 14, 2023
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2022 Cartographic Boundary File (SHP), Current Census Tract for Puerto Rico, 1:500,000 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/2022-cartographic-boundary-file-shp-current-census-tract-for-puerto-rico-1-500000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    United States Census Bureauhttp://census.gov/
    Area covered
    Puerto Rico
    Description

    The 2022 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some states and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census and beyond, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

  16. M

    Puerto Rico Net Migration (1960-2024)

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Puerto Rico Net Migration (1960-2024) [Dataset]. https://www.macrotrends.net/global-metrics/countries/pri/puerto-rico/net-migration
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Puerto Rico
    Description
    Puerto Rico net migration for 2024 was 11,561, a 41.71% decline from 2023.
    <ul style='margin-top:20px;'>
    
    <li>Puerto Rico net migration for 2023 was <strong>19,833</strong>, a <strong>18.73% increase</strong> from 2022.</li>
    <li>Puerto Rico net migration for 2022 was <strong>16,704</strong>, a <strong>325.43% decline</strong> from 2021.</li>
    <li>Puerto Rico net migration for 2021 was <strong>-7,410.00</strong>, a <strong>0% increase</strong> from 2020.</li>
    </ul>Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.
    
  17. d

    R2 & NE: Tract Level 2006-2010 ACS Population Summary.

    • datadiscoverystudio.org
    • data.wu.ac.at
    Updated Jan 13, 2018
    + more versions
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    (2018). R2 & NE: Tract Level 2006-2010 ACS Population Summary. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/7ee7251bedb04e35a50cd7ca613d3110/html
    Explore at:
    Dataset updated
    Jan 13, 2018
    Description

    description: The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

    This table contains data on race, age, sex, and marital status from the American Community Survey 2006-2010 database for tracts. The American Community Survey (ACS) is a household survey conducted by the U.S. Census Bureau that currently has an annual sample size of about 3.5 million addresses. ACS estimates provides communities with the current information they need to plan investments and services. Information from the survey generates estimates that help determine how more than $400 billion in federal and state funds are distributed annually. Each year the survey produces data that cover the periods of 1-year, 3-year, and 5-year estimates for geographic areas in the United States and Puerto Rico, ranging from neighborhoods to Congressional districts to the entire nation. This table also has a companion table (Same table name with MOE Suffix) with the margin of error (MOE) values for each estimated element. MOE is expressed as a measure value for each estimated element. So a value of 25 and an MOE of 5 means 25 +/- 5 (or statistical certainty between 20 and 30). There are also special cases of MOE. An MOE of -1 means the associated estimates do not have a measured error. An MOE of 0 means that error calculation is not appropriate for the associated value. An MOE of 109 is set whenever an estimate value is 0. The MOEs of aggregated elements and percentages must be calculated. This process means using standard error calculations as described in "American Community Survey Multiyear Accuracy of the Data (3-year 2008-2010 and 5-year 2006-2010)". Also, following Census guidelines, aggregated MOEs do not use more than 1 0-element MOE (109) to prevent over estimation of the error. Due to the complexity of the calculations, some percentage MOEs cannot be calculated (these are set to null in the summary-level MOE tables).

    The name for table 'ACS10POPTRMOE' was added as a prefix to all field names imported from that table. Be sure to turn off 'Show Field Aliases' to see complete field names in the Attribute Table of this feature layer. This can be done in the 'Table Options' drop-down menu in the Attribute Table or with key sequence '[CTRL]+[SHIFT]+N'. Due to database restrictions, the prefix may have been abbreviated if the field name exceded the maximum allowed characters.; abstract: The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

    This table contains data on race, age, sex, and marital status from the American Community Survey 2006-2010 database for tracts. The American Community Survey (ACS) is a household survey conducted by the U.S. Census Bureau that currently has an annual sample size of about 3.5 million addresses. ACS estimates provides communities with the current information they need to plan investments and services. Information from the survey generates estimates that help determine how more than $400 billion in federal and state funds are distributed annually. Each year the survey produces data that cover the periods of 1-year, 3-year, and 5-year estimates for geographic areas in the United States and Puerto Rico, ranging from neighborhoods to Congressional districts to the entire nation. This table also has a companion table (Same table name with MOE Suffix) with the margin of error (MOE) values for each estimated element. MOE is expressed as a measure value for each estimated element. So a value of 25 and an MOE of 5 means 25 +/- 5 (or statistical certainty between 20 and 30). There are also special cases of MOE. An MOE of -1 means the associated estimates do not have a measured error. An MOE of 0 means that error calculation is not appropriate for the associated value. An MOE of 109 is set whenever an estimate value is 0. The MOEs of aggregated elements and percentages must be calculated. This process means using standard error calculations as described in "American Community Survey Multiyear Accuracy of the Data (3-year 2008-2010 and 5-year 2006-2010)". Also,

  18. w

    R2 & NE: Tract Level 2006-2010 ACS Education Summary

    • data.wu.ac.at
    • datadiscoverystudio.org
    tgrshp (compressed)
    Updated Jan 9, 2018
    + more versions
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    U.S. Environmental Protection Agency (2018). R2 & NE: Tract Level 2006-2010 ACS Education Summary [Dataset]. https://data.wu.ac.at/schema/data_gov/MzNiOTZjYmEtZTcwYS00MGQ1LWEwYjUtNWJiNmVkNTNkMWQ0
    Explore at:
    tgrshp (compressed)Available download formats
    Dataset updated
    Jan 9, 2018
    Dataset provided by
    U.S. Environmental Protection Agency
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    eff41258adb77775809aa7b5eb4d779d07ba75dc
    Description

    The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

    This table contains data on educational attainment from the American Community Survey 2006-2010 database for states. The American Community Survey (ACS) is a household survey conducted by the U.S. Census Bureau that currently has an annual sample size of about 3.5 million addresses. ACS estimates provides communities with the current information they need to plan investments and services. Information from the survey generates estimates that help determine how more than $400 billion in federal and state funds are distributed annually. Each year the survey produces data that cover the periods of 1-year, 3-year, and 5-year estimates for geographic areas in the United States and Puerto Rico, ranging from neighborhoods to Congressional districts to the entire nation. This table also has a companion table (Same table name with MOE Suffix) with the margin of error (MOE) values for each estimated element. MOE is expressed as a measure value for each estimated element. So a value of 25 and an MOE of 5 means 25 +/- 5 (or statistical certainty between 20 and 30). There are also special cases of MOE. An MOE of -1 means the associated estimates do not have a measured error. An MOE of 0 means that error calculation is not appropriate for the associated value. An MOE of 109 is set whenever an estimate value is 0. The MOEs of aggregated elements and percentages must be calculated. This process means using standard error calculations as described in "American Community Survey Multiyear Accuracy of the Data (3-year 2008-2010 and 5-year 2006-2010)". Also, following Census guidelines, aggregated MOEs do not use more than 1 0-element MOE (109) to prevent over estimation of the error. Due to the complexity of the calculations, some percentage MOEs cannot be calculated (these are set to null in the summary-level MOE tables).

    The name for table 'ACS10EDUTRMOE' was added as a prefix to all field names imported from that table. Be sure to turn off 'Show Field Aliases' to see complete field names in the Attribute Table of this feature layer. This can be done in the 'Table Options' drop-down menu in the Attribute Table or with key sequence '[CTRL]+[SHIFT]+N'. Due to database restrictions, the prefix may have been abbreviated if the field name exceded the maximum allowed characters.

  19. w

    R2 & NE: Tract Level 2006-2010 ACS Employment Summary

    • data.wu.ac.at
    tgrshp (compressed)
    Updated Jan 13, 2018
    + more versions
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    U.S. Environmental Protection Agency (2018). R2 & NE: Tract Level 2006-2010 ACS Employment Summary [Dataset]. https://data.wu.ac.at/odso/data_gov/OTFlNDhmN2UtZDY5MS00MTVlLWE5YzItODJlMTUxNGZlNWEz
    Explore at:
    tgrshp (compressed)Available download formats
    Dataset updated
    Jan 13, 2018
    Dataset provided by
    U.S. Environmental Protection Agency
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    0213f8db6f300fcc466293315bed3556da3a1590
    Description

    The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

    This table contains data on employment, commuting time and method, and participation of mothers in the labor force from the American Community Survey 2006-2010 database for states. The American Community Survey (ACS) is a household survey conducted by the U.S. Census Bureau that currently has an annual sample size of about 3.5 million addresses. ACS estimates provides communities with the current information they need to plan investments and services. Information from the survey generates estimates that help determine how more than $400 billion in federal and state funds are distributed annually. Each year the survey produces data that cover the periods of 1-year, 3-year, and 5-year estimates for geographic areas in the United States and Puerto Rico, ranging from neighborhoods to Congressional districts to the entire nation. This table also has a companion table (Same table name with MOE Suffix) with the margin of error (MOE) values for each estimated element. MOE is expressed as a measure value for each estimated element. So a value of 25 and an MOE of 5 means 25 +/- 5 (or statistical certainty between 20 and 30). There are also special cases of MOE. An MOE of -1 means the associated estimates do not have a measured error. An MOE of 0 means that error calculation is not appropriate for the associated value. An MOE of 109 is set whenever an estimate value is 0. The MOEs of aggregated elements and percentages must be calculated. This process means using standard error calculations as described in "American Community Survey Multiyear Accuracy of the Data (3-year 2008-2010 and 5-year 2006-2010)". Also, following Census guidelines, aggregated MOEs do not use more than 1 0-element MOE (109) to prevent over estimation of the error. Due to the complexity of the calculations, some percentage MOEs cannot be calculated (these are set to null in the summary-level MOE tables).

    The name for table 'ACS10EMPTRMOE' was added as a prefix to all field names imported from that table. Be sure to turn off 'Show Field Aliases' to see complete field names in the Attribute Table of this feature layer. This can be done in the 'Table Options' drop-down menu in the Attribute Table or with key sequence '[CTRL]+[SHIFT]+N'. Due to database restrictions, the prefix may have been abbreviated if the field name exceded the maximum allowed characters.

  20. Population growth in Jamaica 2013-2023

    • statista.com
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    Statista, Population growth in Jamaica 2013-2023 [Dataset]. https://www.statista.com/statistics/527153/population-growth-in-jamaica/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Jamaica
    Description

    The annual population growth in Jamaica declined to 0.02 percent in 2023. In 2023, the population growth thereby reached its lowest value in recent years. Notably, the population growth is continuously decreasing over the last years.Annual population growth refers to the change in the population over time, and is affected by factors such as fertility, mortality, and migration.Find more key insights for the annual population growth in countries like Cuba and Puerto Rico.

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Statista, Total population in Puerto Rico 1980-2030 [Dataset]. https://www.statista.com/statistics/397761/total-population-of-puerto-rico/
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Total population in Puerto Rico 1980-2030

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Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Puerto Rico
Description

In 2024, the total population of Puerto Rico was estimated at approximately 3.19 million people. Between 1980 and 2024, the figure dropped by around 10 thousand people, though the decline followed an uneven course rather than a steady trajectory. The forecast shows the total population will steadily decline by about 90 thousand people from 2024 to 2030.This indicator describes the total population in the country at hand. This total population of the country consists of all persons falling within the scope of the census.

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